G. Bienvenu
- Molecular Biology
- Endocrinology, Diabetes and Metabolism
- Immunology
- Cancer Research
- Oral Surgery top 10%
- Co-authors
- Sylvie BabajkoDanielle SeurinJérôme AmiaudEmmanuelle RenardM. C. CuturiBrigitte Alliot‐LichtAlexandre MoreauJean‐Christophe Farges
- Topics
- Particle accelerators and beam dynamics (5 papers)Particle Accelerators and Free-Electron Lasers (5 papers)Gyrotron and Vacuum Electronics Research (5 papers)
In The Last Decade
G. Bienvenu
15 papers receiving 249 citations
Peers
Comparison fields: 5 of 68
- Molecular Biology 106
- Endocrinology, Diabetes and Metabolism 68
- Immunology 43
- Cancer Research 39
- Oral Surgery 38
Countries citing papers authored by G. Bienvenu
This map shows the geographic impact of G. Bienvenu's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by G. Bienvenu with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites G. Bienvenu more than expected).
Fields of papers citing papers by G. Bienvenu
This network shows the impact of papers produced by G. Bienvenu. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by G. Bienvenu. The network helps show where G. Bienvenu may publish in the future.
Co-authorship network of co-authors of G. Bienvenu
This figure shows the co-authorship network connecting the top 25 collaborators of G. Bienvenu. A scholar is included among the top collaborators of G. Bienvenu based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with G. Bienvenu. G. Bienvenu is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 31 | |
| 2 | 90 | |
| 3 | 30 | |
| 4 | First Results from Commissioning of the Phin Photo Injector for CTF3 | 3 |
| 5 | 17 | |
| 6 | Design of an RF Photo-Gun (PHIN) | 3 |
| 7 | 43 | |
| 8 | 9 | |
| 9 | A thermionic electron gun for the preliminary phase of CTF3 | 3 |
| 10 | 25 | |
| 11 | A high current, high gradient electron double accelerating structure. | 3 |
| 12 | Dark Current under Low and High Electric Field | 3 |
| 13 | 6 | |
| 14 | Operational limits of high accelerator gradients | 1 |
| 15 | 2 | |
| 16 | Accelerating Structure Developments for the LEP Injector Linacs (LIL) | 2 |
About G. Bienvenu
G. Bienvenu is a scholar working on Nuclear and High Energy Physics, Aerospace Engineering and Atomic and Molecular Physics, and Optics, having authored 16 papers that have together received 271 indexed citations. Recurring topics across this work include Particle accelerators and beam dynamics (5 papers), Particle Accelerators and Free-Electron Lasers (5 papers) and Gyrotron and Vacuum Electronics Research (5 papers). The work is most often cited by research in Periodontics (28 citations), Oral Surgery (38 citations) and Endocrinology, Diabetes and Metabolism (68 citations). G. Bienvenu has collaborated with scholars based in France, Australia and Italy. Frequent co-authors include Sylvie Babajko, Danielle Seurin, Jérôme Amiaud, Emmanuelle Renard, M. C. Cuturi, Brigitte Alliot‐Licht, Alexandre Moreau, Jean‐Christophe Farges, Alexis Gaudin and Yves Le Bouc. Their work appears in journals such as Proceedings of the National Academy of Sciences, Scientific Reports and Endocrinology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.